F
Frank M. Sacks
Researcher at Harvard University
Publications - 520
Citations - 86842
Frank M. Sacks is an academic researcher from Harvard University. The author has contributed to research in topics: Cholesterol & Weight loss. The author has an hindex of 120, co-authored 490 publications receiving 80422 citations. Previous affiliations of Frank M. Sacks include Erasmus University Rotterdam & University of Texas Health Science Center at Houston.
Papers
More filters
Journal Article
Dietary fats and prevention of cardiovascular disease. Patient compliance should have been considered.
Journal ArticleDOI
Predicting Weight Loss Using Psychological and Behavioral Factors: The POUNDS LOST Trial.
Xiaoran Liu,Dennis J. Hanseman,Catherine M. Champagne,George A. Bray,Lu Qi,Donald A. Williamson,Stephen D. Anton,Frank M. Sacks,Jenny Tong +8 more
TL;DR: Craving for high-fat foods is predictive of greater weight loss while craving for carbohydrates is predictive for less weight loss, and cognitive restraint is predictors of less weight Loss and more weight regain.
Journal ArticleDOI
Premature coronary deaths in Asians.
TL;DR: Way in which premature coronary deaths in Asians in Britain might be avoided is discussed, and high levels of trans-fatty acids, which adversely affect blood lipid concentrations, are discussed.
Journal ArticleDOI
Temporal and mediation relations of weight loss, and changes in insulin resistance and blood pressure in response to 2-year weight-loss diet interventions: the POUNDS Lost trial.
Liyuan Han,Liyuan Han,Tao Zhang,Dingyun You,Wei Chen,George A. Bray,Frank M. Sacks,Lu Qi,Lu Qi +8 more
TL;DR: In this paper, the authors examined the temporal sequences of weight loss and insulin resistance change, and their relations with BP in the Pounds Lost trial, a randomized weight-loss diet intervention study.
Journal ArticleDOI
Automation of PRM-dependent D3-Leu tracer enrichment in HDL to study the metabolism of apoA-I, LCAT and other apolipoproteins.
Lang H Lee,Allison B. Andraski,Brett Pieper,Hideyuki Higashi,Frank M. Sacks,Frank M. Sacks,Masanori Aikawa,Sasha A Singh +7 more
TL;DR: An intensity‐based quantification approach that takes advantage of high‐resolution/accurate mass PRM scans to identify the D3‐Leu 2HM3 ion from non‐specific peaks will expedite the turnaround of HDL apoA‐I metabolism data in clinical studies that aim to understand and treat the mechanisms behind dyslipidemia.